From f8b1f0f9f61e90fa2f519d9d1c174901b5c0b189 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Thu, 18 Aug 2022 14:44:24 -0500
Subject: [PATCH] snapshot...
---
modules/deeplearning/srcnn.py | 21 ++++++++++++---------
1 file changed, 12 insertions(+), 9 deletions(-)
diff --git a/modules/deeplearning/srcnn.py b/modules/deeplearning/srcnn.py
index 0af63acc..6b56b7af 100644
--- a/modules/deeplearning/srcnn.py
+++ b/modules/deeplearning/srcnn.py
@@ -61,10 +61,14 @@ label_param = label_params[label_idx]
x_134 = np.arange(134)
y_134 = np.arange(134)
-#x_134_2 = x_134[3:131:2]
-#y_134_2 = y_134[3:131:2]
-x_134_2 = x_134[2:133:2]
-y_134_2 = y_134[2:133:2]
+x_64 = np.arange(64)
+y_64 = np.arange(64)
+x_134_2 = x_134[3:131:2]
+y_134_2 = y_134[3:131:2]
+#x_134_2 = x_134[2:133:2]
+#y_134_2 = y_134[2:133:2]
+t = np.arange(0, 64, 0.5)
+s = np.arange(0, 64, 0.5)
def build_residual_conv2d_block(conv, num_filters, block_name, activation=tf.nn.relu, padding='SAME', kernel_initializer='he_uniform', scale=None):
@@ -202,13 +206,12 @@ class SRCNN:
data = np.concatenate(label_s)
label = data.copy()
- data = data[:, data_idx, :, :]
- data = resample(x_134, y_134, data, x_134_2, y_134_2)
+ data = data[:, data_idx, 3:131:2, 3:131:2]
+ data = resample(x_64, y_64, data, t, s)
data = np.expand_dims(data, axis=3)
- # label = label[:, label_idx, :, :]
- label = label[:, label_idx, 3:131:2, 3:131:2]
- # label = label[:, label_idx, 3:67, 3:67]
+ # label = label[:, label_idx, 3:131:2, 3:131:2]
+ label = label[:, label_idx, 3:131, 3:131]
label = np.expand_dims(label, axis=3)
data = data.astype(np.float32)
--
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